{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Model building\n",
    "В данной работе предлагается решить задачу мультиклассовойклассификации для датасета флагов различных стран (https://archive.ics.uci.edu/ml/datasets/Flags)\n",
    "\n",
    "1. Получить данные и загрузить их в рабочую среду. \n",
    "2. Провести первичный разведочный анализ данных.\n",
    "- Проверить  данные на пропуски.\n",
    "- Построить 1-2 графика. Визуализация должна быть основана на исследуемых данных и быть полезной (из графика можно сделать вывод об особенностях датасета/класса/признака).\n",
    "- Визуализировать распределение количества флагов по религиям.\n",
    "3. Разделить выборку на обучающее и тестовое подмножество. 80% данных оставить на обучающее множество, 20% на тестовое.\n",
    "4. Обучить любую модель классификации на выбор.\n",
    "Для тестового множества сделать предсказание целевой переменной. Вывести метрики модели с помощью metrics.classification_report. \n",
    "6. Посчитать и вывести корреляционную матрицу.\n",
    "- Сделать выводы.\n",
    "7. Обработать выбросы в данных.\n",
    "- Визуализировать распределение значений для каждой переменной. Можно использовать функции sns.boxplot, sns.distplot.\n",
    "- Исследовать признаки на выбросы. Удалите выбросы, если они были найдены/либо это необходимо.\n",
    "8. Провести нормализацию признаков.\n",
    "- Выбрать признаки для нормализации, предложить способы для их обработки.\n",
    "9. Повторить п. 4, п. 5.\n",
    "10. Сбалансировать классы путем oversampling/undersampling.\n",
    "- Повторить п. 4, п. 5.\n",
    "11. Уменьшить размерность пространства признаков.\n",
    "- Повторить п. 4, п. 5.\n",
    "12. Применить любой метод на ваше усмотрение для отбора признаков.\n",
    "- Повторить п. 4, п. 5. Указать количество выбранных признаков.\n",
    "13. Оптимизировать параметры модели из п. 4.\n",
    "- Повторить п. 4, п. 5.\n",
    "14. Обучить стекинг трех моделей, включая модель с оптимизированными параметрами.\n",
    "15. Выбрать результат с лучшими метриками и построить для него Confusion Matrix.\n",
    "16. *Творческий пункт. Предложить что-то интересное для датасета.\n",
    "17. Сделайте выводы.\n",
    "Результат:\n",
    "Реализована полноценная работа в области классического машинного обучения."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dataset description:\n",
    "Attribute Information:\n",
    "1. name\tName of the country concerned\n",
    "2. landmass\t1=N.America, 2=S.America, 3=Europe, 4=Africa, 4=Asia, 6=Oceania\n",
    "3. zone\tGeographic quadrant, based on Greenwich and the Equator 1=NE, 2=SE, 3=SW, 4=NW\n",
    "4. area\tin thousands of square km\n",
    "5. population\tin round millions\n",
    "6. language 1=English, 2=Spanish, 3=French, 4=German, 5=Slavic, 6=Other Indo-European, 7=Chinese, 8=Arabic, 9=Japanese/Turkish/Finnish/Magyar, 10=Others\n",
    "7. religion 0=Catholic, 1=Other Christian, 2=Muslim, 3=Buddhist, 4=Hindu,5=Ethnic, 6=Marxist, 7=Others\n",
    "8. bars     Number of vertical bars in the flag\n",
    "9. stripes  Number of horizontal stripes in the flag\n",
    "10. colours  Number of different colours in the flag\n",
    "11. red      0 if red absent, 1 if red present in the flag\n",
    "12. green    same for green\n",
    "13. blue     same for blue\n",
    "14. gold     same for gold (also yellow)\n",
    "15. white    same for white\n",
    "16. black    same for black\n",
    "17. orange   same for orange (also brown)\n",
    "18. mainhue  predominant colour in the flag (tie-breaks decided by taking the topmost hue, if that fails then the most central hue, and if that fails the leftmost hue)\n",
    "19. circles  Number of circles in the flag\n",
    "20. crosses  Number of (upright) crosses\n",
    "21. saltires Number of diagonal crosses\n",
    "22. quarters Number of quartered sections\n",
    "23. sunstars Number of sun or star symbols\n",
    "24. crescent 1 if a crescent moon symbol present, else 0\n",
    "25. triangle 1 if any triangles present, 0 otherwise\n",
    "26. icon     1 if an inanimate image present (e.g., a boat), otherwise 0\n",
    "27. animate  1 if an animate image (e.g., an eagle, a tree, a human hand)  present, 0 otherwise\n",
    "28. text     1 if any letters or writing on the flag (e.g., a motto or slogan), 0 otherwise\n",
    "29. topleft  colour in the top-left corner (moving right to decide tie-breaks)\n",
    "30. botright Colour in the bottom-left corner (moving left to decide tie-breaks)\n",
    "\n",
    "No missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "cols = ['name','landmass','zone','area','population','language','religion','bars','stripes',\n",
    "       'colours','red','green','blue','gold','white','black','orange','mainhue','circles',\n",
    "       'crosses','saltires','quarters','sunstars','crescent','triangle','icon','animate',\n",
    "       'text','topleft','botright']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>landmass</th>\n",
       "      <th>zone</th>\n",
       "      <th>area</th>\n",
       "      <th>population</th>\n",
       "      <th>language</th>\n",
       "      <th>religion</th>\n",
       "      <th>bars</th>\n",
       "      <th>stripes</th>\n",
       "      <th>colours</th>\n",
       "      <th>...</th>\n",
       "      <th>saltires</th>\n",
       "      <th>quarters</th>\n",
       "      <th>sunstars</th>\n",
       "      <th>crescent</th>\n",
       "      <th>triangle</th>\n",
       "      <th>icon</th>\n",
       "      <th>animate</th>\n",
       "      <th>text</th>\n",
       "      <th>topleft</th>\n",
       "      <th>botright</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>648</td>\n",
       "      <td>16</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>black</td>\n",
       "      <td>green</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Albania</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>29</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>red</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Algeria</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2388</td>\n",
       "      <td>20</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>green</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>American-Samoa</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>blue</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Andorra</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>blue</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             name  landmass  zone  area  population  language  religion  bars  \\\n",
       "0     Afghanistan         5     1   648          16        10         2     0   \n",
       "1         Albania         3     1    29           3         6         6     0   \n",
       "2         Algeria         4     1  2388          20         8         2     2   \n",
       "3  American-Samoa         6     3     0           0         1         1     0   \n",
       "4         Andorra         3     1     0           0         6         0     3   \n",
       "\n",
       "   stripes  colours  ...  saltires  quarters  sunstars  crescent  triangle  \\\n",
       "0        3        5  ...         0         0         1         0         0   \n",
       "1        0        3  ...         0         0         1         0         0   \n",
       "2        0        3  ...         0         0         1         1         0   \n",
       "3        0        5  ...         0         0         0         0         1   \n",
       "4        0        3  ...         0         0         0         0         0   \n",
       "\n",
       "   icon  animate text  topleft  botright  \n",
       "0     1        0    0    black     green  \n",
       "1     0        1    0      red       red  \n",
       "2     0        0    0    green     white  \n",
       "3     1        1    0     blue       red  \n",
       "4     0        0    0     blue       red  \n",
       "\n",
       "[5 rows x 30 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv(\"D:/GITHUB/Machine_Lerning/Datasets/flags/flag.data\", header=None, names=cols)\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# EDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>landmass</th>\n",
       "      <th>zone</th>\n",
       "      <th>area</th>\n",
       "      <th>population</th>\n",
       "      <th>language</th>\n",
       "      <th>religion</th>\n",
       "      <th>bars</th>\n",
       "      <th>stripes</th>\n",
       "      <th>colours</th>\n",
       "      <th>red</th>\n",
       "      <th>...</th>\n",
       "      <th>circles</th>\n",
       "      <th>crosses</th>\n",
       "      <th>saltires</th>\n",
       "      <th>quarters</th>\n",
       "      <th>sunstars</th>\n",
       "      <th>crescent</th>\n",
       "      <th>triangle</th>\n",
       "      <th>icon</th>\n",
       "      <th>animate</th>\n",
       "      <th>text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>194.000000</td>\n",
       "      <td>194.000000</td>\n",
       "      <td>194.000000</td>\n",
       "      <td>194.000000</td>\n",
       "      <td>194.000000</td>\n",
       "      <td>194.000000</td>\n",
       "      <td>194.000000</td>\n",
       "      <td>194.000000</td>\n",
       "      <td>194.000000</td>\n",
       "      <td>194.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>194.000000</td>\n",
       "      <td>194.000000</td>\n",
       "      <td>194.000000</td>\n",
       "      <td>194.000000</td>\n",
       "      <td>194.000000</td>\n",
       "      <td>194.000000</td>\n",
       "      <td>194.000000</td>\n",
       "      <td>194.000000</td>\n",
       "      <td>194.000000</td>\n",
       "      <td>194.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.572165</td>\n",
       "      <td>2.211340</td>\n",
       "      <td>700.046392</td>\n",
       "      <td>23.268041</td>\n",
       "      <td>5.340206</td>\n",
       "      <td>2.190722</td>\n",
       "      <td>0.453608</td>\n",
       "      <td>1.551546</td>\n",
       "      <td>3.463918</td>\n",
       "      <td>0.788660</td>\n",
       "      <td>...</td>\n",
       "      <td>0.170103</td>\n",
       "      <td>0.149485</td>\n",
       "      <td>0.092784</td>\n",
       "      <td>0.149485</td>\n",
       "      <td>1.386598</td>\n",
       "      <td>0.056701</td>\n",
       "      <td>0.139175</td>\n",
       "      <td>0.252577</td>\n",
       "      <td>0.201031</td>\n",
       "      <td>0.082474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.553018</td>\n",
       "      <td>1.308274</td>\n",
       "      <td>2170.927932</td>\n",
       "      <td>91.934085</td>\n",
       "      <td>3.496517</td>\n",
       "      <td>2.061167</td>\n",
       "      <td>1.038339</td>\n",
       "      <td>2.328005</td>\n",
       "      <td>1.300154</td>\n",
       "      <td>0.409315</td>\n",
       "      <td>...</td>\n",
       "      <td>0.463075</td>\n",
       "      <td>0.385387</td>\n",
       "      <td>0.290879</td>\n",
       "      <td>0.435860</td>\n",
       "      <td>4.396186</td>\n",
       "      <td>0.231869</td>\n",
       "      <td>0.347025</td>\n",
       "      <td>0.435615</td>\n",
       "      <td>0.401808</td>\n",
       "      <td>0.275798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>111.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>5.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>471.250000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>6.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>22402.000000</td>\n",
       "      <td>1008.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         landmass        zone          area   population    language  \\\n",
       "count  194.000000  194.000000    194.000000   194.000000  194.000000   \n",
       "mean     3.572165    2.211340    700.046392    23.268041    5.340206   \n",
       "std      1.553018    1.308274   2170.927932    91.934085    3.496517   \n",
       "min      1.000000    1.000000      0.000000     0.000000    1.000000   \n",
       "25%      3.000000    1.000000      9.000000     0.000000    2.000000   \n",
       "50%      4.000000    2.000000    111.000000     4.000000    6.000000   \n",
       "75%      5.000000    4.000000    471.250000    14.000000    9.000000   \n",
       "max      6.000000    4.000000  22402.000000  1008.000000   10.000000   \n",
       "\n",
       "         religion        bars     stripes     colours         red  ...  \\\n",
       "count  194.000000  194.000000  194.000000  194.000000  194.000000  ...   \n",
       "mean     2.190722    0.453608    1.551546    3.463918    0.788660  ...   \n",
       "std      2.061167    1.038339    2.328005    1.300154    0.409315  ...   \n",
       "min      0.000000    0.000000    0.000000    1.000000    0.000000  ...   \n",
       "25%      1.000000    0.000000    0.000000    3.000000    1.000000  ...   \n",
       "50%      1.000000    0.000000    0.000000    3.000000    1.000000  ...   \n",
       "75%      4.000000    0.000000    3.000000    4.000000    1.000000  ...   \n",
       "max      7.000000    5.000000   14.000000    8.000000    1.000000  ...   \n",
       "\n",
       "          circles     crosses    saltires    quarters    sunstars    crescent  \\\n",
       "count  194.000000  194.000000  194.000000  194.000000  194.000000  194.000000   \n",
       "mean     0.170103    0.149485    0.092784    0.149485    1.386598    0.056701   \n",
       "std      0.463075    0.385387    0.290879    0.435860    4.396186    0.231869   \n",
       "min      0.000000    0.000000    0.000000    0.000000    0.000000    0.000000   \n",
       "25%      0.000000    0.000000    0.000000    0.000000    0.000000    0.000000   \n",
       "50%      0.000000    0.000000    0.000000    0.000000    0.000000    0.000000   \n",
       "75%      0.000000    0.000000    0.000000    0.000000    1.000000    0.000000   \n",
       "max      4.000000    2.000000    1.000000    4.000000   50.000000    1.000000   \n",
       "\n",
       "         triangle        icon     animate        text  \n",
       "count  194.000000  194.000000  194.000000  194.000000  \n",
       "mean     0.139175    0.252577    0.201031    0.082474  \n",
       "std      0.347025    0.435615    0.401808    0.275798  \n",
       "min      0.000000    0.000000    0.000000    0.000000  \n",
       "25%      0.000000    0.000000    0.000000    0.000000  \n",
       "50%      0.000000    0.000000    0.000000    0.000000  \n",
       "75%      0.000000    0.750000    0.000000    0.000000  \n",
       "max      1.000000    1.000000    1.000000    1.000000  \n",
       "\n",
       "[8 rows x 26 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 194 entries, 0 to 193\n",
      "Data columns (total 30 columns):\n",
      " #   Column      Non-Null Count  Dtype \n",
      "---  ------      --------------  ----- \n",
      " 0   name        194 non-null    object\n",
      " 1   landmass    194 non-null    int64 \n",
      " 2   zone        194 non-null    int64 \n",
      " 3   area        194 non-null    int64 \n",
      " 4   population  194 non-null    int64 \n",
      " 5   language    194 non-null    int64 \n",
      " 6   religion    194 non-null    int64 \n",
      " 7   bars        194 non-null    int64 \n",
      " 8   stripes     194 non-null    int64 \n",
      " 9   colours     194 non-null    int64 \n",
      " 10  red         194 non-null    int64 \n",
      " 11  green       194 non-null    int64 \n",
      " 12  blue        194 non-null    int64 \n",
      " 13  gold        194 non-null    int64 \n",
      " 14  white       194 non-null    int64 \n",
      " 15  black       194 non-null    int64 \n",
      " 16  orange      194 non-null    int64 \n",
      " 17  mainhue     194 non-null    object\n",
      " 18  circles     194 non-null    int64 \n",
      " 19  crosses     194 non-null    int64 \n",
      " 20  saltires    194 non-null    int64 \n",
      " 21  quarters    194 non-null    int64 \n",
      " 22  sunstars    194 non-null    int64 \n",
      " 23  crescent    194 non-null    int64 \n",
      " 24  triangle    194 non-null    int64 \n",
      " 25  icon        194 non-null    int64 \n",
      " 26  animate     194 non-null    int64 \n",
      " 27  text        194 non-null    int64 \n",
      " 28  topleft     194 non-null    object\n",
      " 29  botright    194 non-null    object\n",
      "dtypes: int64(26), object(4)\n",
      "memory usage: 45.6+ KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "name          0\n",
       "landmass      0\n",
       "zone          0\n",
       "area          0\n",
       "population    0\n",
       "language      0\n",
       "religion      0\n",
       "bars          0\n",
       "stripes       0\n",
       "colours       0\n",
       "red           0\n",
       "green         0\n",
       "blue          0\n",
       "gold          0\n",
       "white         0\n",
       "black         0\n",
       "orange        0\n",
       "mainhue       0\n",
       "circles       0\n",
       "crosses       0\n",
       "saltires      0\n",
       "quarters      0\n",
       "sunstars      0\n",
       "crescent      0\n",
       "triangle      0\n",
       "icon          0\n",
       "animate       0\n",
       "text          0\n",
       "topleft       0\n",
       "botright      0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Из описания датасета видим, что пропуски отсутствуют, но есть страны с нудевой площадью и нулевым населением. Из описания признаков видно, что площадь исчисляется в тысячах километров а население в милионах человек. Посмотрим что это за страны и сколько их всего"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>landmass</th>\n",
       "      <th>zone</th>\n",
       "      <th>area</th>\n",
       "      <th>population</th>\n",
       "      <th>language</th>\n",
       "      <th>religion</th>\n",
       "      <th>bars</th>\n",
       "      <th>stripes</th>\n",
       "      <th>colours</th>\n",
       "      <th>...</th>\n",
       "      <th>saltires</th>\n",
       "      <th>quarters</th>\n",
       "      <th>sunstars</th>\n",
       "      <th>crescent</th>\n",
       "      <th>triangle</th>\n",
       "      <th>icon</th>\n",
       "      <th>animate</th>\n",
       "      <th>text</th>\n",
       "      <th>topleft</th>\n",
       "      <th>botright</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>American-Samoa</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>blue</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Andorra</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>blue</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Anguilla</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>white</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Antigua-Barbuda</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>black</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Bahamas</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>blue</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Bahrain</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>white</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Barbados</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>blue</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Belize</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>23</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>red</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Bermuda</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>white</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>British-Virgin-Isles</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>white</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Brunei</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>white</td>\n",
       "      <td>gold</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Cape-Verde-Islands</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>red</td>\n",
       "      <td>green</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Cayman-Islands</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>white</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Comorro-Islands</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>green</td>\n",
       "      <td>green</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Cook-Islands</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>white</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Djibouti</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>white</td>\n",
       "      <td>green</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Dominica</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>green</td>\n",
       "      <td>green</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>Equatorial-Guinea</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>28</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>green</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Faeroes</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>white</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Falklands-Malvinas</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>white</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>French-Guiana</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>91</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>blue</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>French-Polynesia</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>red</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Gibraltar</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>white</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>Greenland</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2176</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>white</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Grenada</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>red</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>Guam</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>red</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Iceland</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>103</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>blue</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>Kiribati</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>red</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>Liechtenstein</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>blue</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>Luxembourg</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>red</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>Maldive-Islands</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>red</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>Malta</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>white</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>Marianas</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>blue</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>Micronesia</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>blue</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>Monaco</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>red</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>Montserrat</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>white</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>Nauru</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>blue</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>Netherlands-Antilles</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>white</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>Niue</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>white</td>\n",
       "      <td>gold</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>Qatar</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>white</td>\n",
       "      <td>brown</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>San-Marino</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>white</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>Sao-Tome</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>green</td>\n",
       "      <td>green</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>Seychelles</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>red</td>\n",
       "      <td>green</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>Soloman-Islands</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>blue</td>\n",
       "      <td>green</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>St-Helena</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>white</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>St-Kitts-Nevis</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>green</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>St-Lucia</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>blue</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>St-Vincent</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>blue</td>\n",
       "      <td>green</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>Surinam</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>63</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>green</td>\n",
       "      <td>green</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>Tonga</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>white</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>Turks-Cocos-Islands</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>white</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>Tuvalu</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>white</td>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>US-Virgin-Isles</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>white</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>Vanuatu</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>black</td>\n",
       "      <td>green</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>Vatican-City</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>gold</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>Western-Samoa</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>blue</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>56 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     name  landmass  zone  area  population  language  \\\n",
       "3          American-Samoa         6     3     0           0         1   \n",
       "4                 Andorra         3     1     0           0         6   \n",
       "6                Anguilla         1     4     0           0         1   \n",
       "7         Antigua-Barbuda         1     4     0           0         1   \n",
       "12                Bahamas         1     4    19           0         1   \n",
       "13                Bahrain         5     1     1           0         8   \n",
       "15               Barbados         1     4     0           0         1   \n",
       "17                 Belize         1     4    23           0         1   \n",
       "19                Bermuda         1     4     0           0         1   \n",
       "24   British-Virgin-Isles         1     4     0           0         1   \n",
       "25                 Brunei         5     1     6           0        10   \n",
       "32     Cape-Verde-Islands         4     4     4           0         6   \n",
       "33         Cayman-Islands         1     4     0           0         1   \n",
       "39        Comorro-Islands         4     2     2           0         3   \n",
       "41           Cook-Islands         6     3     0           0         1   \n",
       "47               Djibouti         4     1    22           0         3   \n",
       "48               Dominica         1     4     0           0         1   \n",
       "53      Equatorial-Guinea         4     1    28           0        10   \n",
       "55                Faeroes         3     4     1           0         6   \n",
       "56     Falklands-Malvinas         2     3    12           0         1   \n",
       "60          French-Guiana         2     4    91           0         3   \n",
       "61       French-Polynesia         6     3     4           0         3   \n",
       "67              Gibraltar         3     4     0           0         1   \n",
       "69              Greenland         1     4  2176           0         6   \n",
       "70                Grenada         1     4     0           0         1   \n",
       "71                   Guam         6     1     0           0         1   \n",
       "80                Iceland         3     4   103           0         6   \n",
       "94               Kiribati         6     1     0           0         1   \n",
       "101         Liechtenstein         3     1     0           0         4   \n",
       "102            Luxembourg         3     1     3           0         4   \n",
       "106       Maldive-Islands         5     1     0           0        10   \n",
       "108                 Malta         3     1     0           0        10   \n",
       "109              Marianas         6     1     0           0        10   \n",
       "113            Micronesia         6     1     1           0        10   \n",
       "114                Monaco         3     1     0           0         3   \n",
       "116            Montserrat         1     4     0           0         1   \n",
       "119                 Nauru         6     2     0           0        10   \n",
       "122  Netherlands-Antilles         1     4     0           0         6   \n",
       "127                  Niue         6     3     0           0         1   \n",
       "141                 Qatar         5     1    11           0         8   \n",
       "144            San-Marino         3     1     0           0         6   \n",
       "145              Sao-Tome         4     1     0           0         6   \n",
       "148            Seychelles         4     2     0           0         1   \n",
       "151       Soloman-Islands         6     2    30           0         1   \n",
       "158             St-Helena         4     3     0           0         1   \n",
       "159        St-Kitts-Nevis         1     4     0           0         1   \n",
       "160              St-Lucia         1     4     0           0         1   \n",
       "161            St-Vincent         1     4     0           0         1   \n",
       "163               Surinam         2     4    63           0         6   \n",
       "172                 Tonga         6     2     1           0        10   \n",
       "176   Turks-Cocos-Islands         1     4     0           0         1   \n",
       "177                Tuvalu         6     2     0           0         1   \n",
       "182       US-Virgin-Isles         1     4     0           0         1   \n",
       "185               Vanuatu         6     2    15           0         6   \n",
       "186          Vatican-City         3     1     0           0         6   \n",
       "189         Western-Samoa         6     3     3           0         1   \n",
       "\n",
       "     religion  bars  stripes  colours  ...  saltires  quarters  sunstars  \\\n",
       "3           1     0        0        5  ...         0         0         0   \n",
       "4           0     3        0        3  ...         0         0         0   \n",
       "6           1     0        1        3  ...         0         0         0   \n",
       "7           1     0        1        5  ...         0         0         1   \n",
       "12          1     0        3        3  ...         0         0         0   \n",
       "13          2     0        0        2  ...         0         0         0   \n",
       "15          1     3        0        3  ...         0         0         0   \n",
       "17          1     0        2        8  ...         0         0         0   \n",
       "19          1     0        0        6  ...         1         1         0   \n",
       "24          1     0        0        6  ...         1         1         0   \n",
       "25          2     0        0        4  ...         0         0         0   \n",
       "32          0     1        2        5  ...         0         0         1   \n",
       "33          1     0        0        6  ...         1         1         4   \n",
       "39          2     0        0        2  ...         0         0         4   \n",
       "41          1     0        0        4  ...         1         1        15   \n",
       "47          2     0        0        4  ...         0         0         1   \n",
       "48          1     0        0        6  ...         0         0        10   \n",
       "53          5     0        3        4  ...         0         0         0   \n",
       "55          1     0        0        3  ...         0         0         0   \n",
       "56          1     0        0        6  ...         1         1         0   \n",
       "60          0     3        0        3  ...         0         0         0   \n",
       "61          0     0        3        5  ...         0         0         1   \n",
       "67          1     0        1        3  ...         0         0         0   \n",
       "69          1     0        0        2  ...         0         0         0   \n",
       "70          1     0        0        3  ...         0         0         7   \n",
       "71          1     0        0        7  ...         0         0         0   \n",
       "80          1     0        0        3  ...         0         0         0   \n",
       "94          1     0        0        4  ...         0         0         1   \n",
       "101         0     0        2        3  ...         0         0         0   \n",
       "102         0     0        3        3  ...         0         0         0   \n",
       "106         2     0        0        3  ...         0         0         0   \n",
       "108         0     2        0        3  ...         0         0         0   \n",
       "109         1     0        0        3  ...         0         0         1   \n",
       "113         1     0        0        2  ...         0         0         4   \n",
       "114         0     0        2        2  ...         0         0         0   \n",
       "116         1     0        0        7  ...         1         1         0   \n",
       "119         1     0        3        3  ...         0         0         1   \n",
       "122         1     0        1        3  ...         0         0         6   \n",
       "127         1     0        0        4  ...         1         1         5   \n",
       "141         2     0        0        2  ...         0         0         0   \n",
       "144         0     0        2        2  ...         0         0         0   \n",
       "145         0     0        3        4  ...         0         0         2   \n",
       "148         1     0        0        3  ...         0         0         0   \n",
       "151         1     0        0        4  ...         0         0         5   \n",
       "158         1     0        0        7  ...         1         1         0   \n",
       "159         1     0        0        5  ...         0         0         2   \n",
       "160         1     0        0        4  ...         0         0         0   \n",
       "161         1     5        0        4  ...         0         0         0   \n",
       "163         1     0        5        4  ...         0         0         1   \n",
       "172         1     0        0        2  ...         0         1         0   \n",
       "176         1     0        0        6  ...         1         1         0   \n",
       "177         1     0        0        5  ...         1         1         9   \n",
       "182         1     0        0        6  ...         0         0         0   \n",
       "185         1     0        0        4  ...         0         0         0   \n",
       "186         0     2        0        4  ...         0         0         0   \n",
       "189         1     0        0        3  ...         0         1         5   \n",
       "\n",
       "     crescent  triangle  icon  animate text  topleft  botright  \n",
       "3           0         1     1        1    0     blue       red  \n",
       "4           0         0     0        0    0     blue       red  \n",
       "6           0         0     0        1    0    white      blue  \n",
       "7           0         1     0        0    0    black       red  \n",
       "12          0         1     0        0    0     blue      blue  \n",
       "13          0         0     0        0    0    white       red  \n",
       "15          0         0     1        0    0     blue      blue  \n",
       "17          0         0     1        1    1      red       red  \n",
       "19          0         0     1        1    0    white       red  \n",
       "24          0         0     1        1    1    white      blue  \n",
       "25          0         1     1        1    1    white      gold  \n",
       "32          0         0     0        1    0      red     green  \n",
       "33          0         0     1        1    1    white      blue  \n",
       "39          1         0     0        0    0    green     green  \n",
       "41          0         0     0        0    0    white      blue  \n",
       "47          0         1     0        0    0    white     green  \n",
       "48          0         0     0        1    0    green     green  \n",
       "53          0         1     0        0    0    green       red  \n",
       "55          0         0     0        0    0    white     white  \n",
       "56          0         0     1        1    1    white      blue  \n",
       "60          0         0     0        0    0     blue       red  \n",
       "61          0         0     1        0    0      red       red  \n",
       "67          0         0     1        0    0    white       red  \n",
       "69          0         0     0        0    0    white       red  \n",
       "70          0         1     0        1    0      red       red  \n",
       "71          0         0     1        1    1      red       red  \n",
       "80          0         0     0        0    0     blue      blue  \n",
       "94          0         0     1        1    0      red      blue  \n",
       "101         0         0     1        0    0     blue       red  \n",
       "102         0         0     0        0    0      red      blue  \n",
       "106         1         0     0        0    0      red       red  \n",
       "108         0         0     1        0    0    white       red  \n",
       "109         0         0     1        0    0     blue      blue  \n",
       "113         0         0     0        0    0     blue      blue  \n",
       "114         0         0     0        0    0      red     white  \n",
       "116         0         0     1        1    0    white      blue  \n",
       "119         0         0     0        0    0     blue      blue  \n",
       "122         0         0     0        0    0    white     white  \n",
       "127         0         0     0        0    0    white      gold  \n",
       "141         0         0     0        0    0    white     brown  \n",
       "144         0         0     0        0    0    white      blue  \n",
       "145         0         1     0        0    0    green     green  \n",
       "148         0         0     0        0    0      red     green  \n",
       "151         0         1     0        0    0     blue     green  \n",
       "158         0         0     1        0    0    white      blue  \n",
       "159         0         1     0        0    0    green       red  \n",
       "160         0         1     0        0    0     blue      blue  \n",
       "161         0         0     1        1    1     blue     green  \n",
       "163         0         0     0        0    0    green     green  \n",
       "172         0         0     0        0    0    white       red  \n",
       "176         0         0     1        1    0    white      blue  \n",
       "177         0         0     0        0    0    white      blue  \n",
       "182         0         0     1        1    1    white     white  \n",
       "185         0         1     0        1    0    black     green  \n",
       "186         0         0     1        0    0     gold     white  \n",
       "189         0         0     0        0    0     blue       red  \n",
       "\n",
       "[56 rows x 30 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.loc[(data['area'] == 0) | (data['population'] == 0)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Площадь и население, равные 0, выглядят нормально, страны обычно небольшие, поэтому значение было просто округлено"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Разделим признаки по категориям:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "black_list = ['name'] #we black list country name as with it we need just wiki to predicit religion\n",
    "categoricals = ['landmass','zone','language','mainhue','topleft','botright']\n",
    "dummies = ['red','green','blue','gold','white','black','orange','crescent','triangle','icon','animate','text']\n",
    "continious = ['area', 'population', 'bars', 'stripes', 'colours','circles', 'crosses', 'saltires', 'quarters', 'sunstars']\n",
    "target = 'religion'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "проверим корректность заполнения признаков dummies. Должны быть 0 и 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>red</th>\n",
       "      <th>green</th>\n",
       "      <th>blue</th>\n",
       "      <th>gold</th>\n",
       "      <th>white</th>\n",
       "      <th>black</th>\n",
       "      <th>orange</th>\n",
       "      <th>crescent</th>\n",
       "      <th>triangle</th>\n",
       "      <th>icon</th>\n",
       "      <th>animate</th>\n",
       "      <th>text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nunique</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         red  green  blue  gold  white  black  orange  crescent  triangle  \\\n",
       "min        0      0     0     0      0      0       0         0         0   \n",
       "max        1      1     1     1      1      1       1         1         1   \n",
       "nunique    2      2     2     2      2      2       2         2         2   \n",
       "\n",
       "         icon  animate  text  \n",
       "min         0        0     0  \n",
       "max         1        1     1  \n",
       "nunique     2        2     2  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[dummies].agg(['min', 'max', 'nunique'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Все признаки заполнены корректно"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Проверим сколько у нас категориальных признаков"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(landmass     6\n",
       " zone         4\n",
       " language    10\n",
       " mainhue      8\n",
       " topleft      7\n",
       " botright     8\n",
       " dtype: int64,\n",
       " 43)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[categoricals].nunique(), data[categoricals].nunique().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Котегориальных признаков не так много, можем использовать one-hot encoding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.groupby('DMDMARTLx')['BPXSY1'].mean().plot(kind='bar', rot=45, fontsize=10, figsize=(8, 6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, \"Flag's by religion \")"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.groupby('religion')['name'].count().plot(kind='bar', rot=45, fontsize=10, figsize=(8, 6))\n",
    "plt.title(\"Flag's by religion \")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Population by religion ')"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.groupby('religion')['population'].sum().plot(kind='bar', rot=45, fontsize=10, figsize=(8, 6) )\n",
    "plt.title(\"Population by religion \")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = pd.concat([data[continious], data[dummies], pd.get_dummies(data[categoricals])], axis=1)\n",
    "y = data[target]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>area</th>\n",
       "      <th>population</th>\n",
       "      <th>bars</th>\n",
       "      <th>stripes</th>\n",
       "      <th>colours</th>\n",
       "      <th>circles</th>\n",
       "      <th>crosses</th>\n",
       "      <th>saltires</th>\n",
       "      <th>quarters</th>\n",
       "      <th>sunstars</th>\n",
       "      <th>...</th>\n",
       "      <th>topleft_red</th>\n",
       "      <th>topleft_white</th>\n",
       "      <th>botright_black</th>\n",
       "      <th>botright_blue</th>\n",
       "      <th>botright_brown</th>\n",
       "      <th>botright_gold</th>\n",
       "      <th>botright_green</th>\n",
       "      <th>botright_orange</th>\n",
       "      <th>botright_red</th>\n",
       "      <th>botright_white</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>648</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>29</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2388</td>\n",
       "      <td>20</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 48 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   area  population  bars  stripes  colours  circles  crosses  saltires  \\\n",
       "0   648          16     0        3        5        0        0         0   \n",
       "1    29           3     0        0        3        0        0         0   \n",
       "2  2388          20     2        0        3        0        0         0   \n",
       "3     0           0     0        0        5        0        0         0   \n",
       "4     0           0     3        0        3        0        0         0   \n",
       "\n",
       "   quarters  sunstars  ...  topleft_red  topleft_white  botright_black  \\\n",
       "0         0         1  ...            0              0               0   \n",
       "1         0         1  ...            1              0               0   \n",
       "2         0         1  ...            0              0               0   \n",
       "3         0         0  ...            0              0               0   \n",
       "4         0         0  ...            0              0               0   \n",
       "\n",
       "   botright_blue  botright_brown  botright_gold  botright_green  \\\n",
       "0              0               0              0               1   \n",
       "1              0               0              0               0   \n",
       "2              0               0              0               0   \n",
       "3              0               0              0               0   \n",
       "4              0               0              0               0   \n",
       "\n",
       "   botright_orange  botright_red  botright_white  \n",
       "0                0             0               0  \n",
       "1                0             1               0  \n",
       "2                0             0               1  \n",
       "3                0             1               0  \n",
       "4                0             1               0  \n",
       "\n",
       "[5 rows x 48 columns]"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Разделим выборку, чтобы в Train попали все религии"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import StratifiedShuffleSplit\n",
    "sss = StratifiedShuffleSplit(n_splits=1,test_size=.2)\n",
    "for trn_idx,tst_idx in sss.split(X,y):\n",
    "    X_train,y_train = X.iloc[trn_idx],y.iloc[trn_idx]\n",
    "    X_test,y_test = X.iloc[tst_idx],y.iloc[tst_idx]\n",
    "    \n",
    "assert len(X_train)+len(X_test) == len(y_train)+len(y_test) == len(X) == len(y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Базовая модель"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.model_selection import KFold, StratifiedKFold\n",
    "from sklearn.metrics import classification_report"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "rfc = RandomForestClassifier(max_depth=20, min_samples_leaf=5, n_estimators=100, n_jobs=-1, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestClassifier(max_depth=20, min_samples_leaf=5, n_jobs=-1,\n",
       "                       random_state=42)"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rfc.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = rfc.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.60      0.75      0.67         8\n",
      "           1       0.62      0.67      0.64        12\n",
      "           2       0.38      0.71      0.50         7\n",
      "           3       1.00      0.00      0.00         2\n",
      "           4       1.00      0.00      0.00         1\n",
      "           5       0.67      0.40      0.50         5\n",
      "           6       1.00      0.00      0.00         3\n",
      "           7       1.00      0.00      0.00         1\n",
      "\n",
      "    accuracy                           0.54        39\n",
      "   macro avg       0.78      0.32      0.29        39\n",
      "weighted avg       0.65      0.54      0.49        39\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test, y_pred, zero_division=1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1400x1400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "corr_matrix = data.drop(columns=['name','topleft','botright','mainhue']).corr()\n",
    "fig, ax = plt.subplots(figsize=(14,14))\n",
    "sns.heatmap(corr_matrix, annot = True, vmin=-1, vmax=1, center=0, cmap= 'coolwarm', linewidths=1,linecolor='grey', ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 562.861x500 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = sns.pairplot(data = data, vars=['population','area'], hue='religion')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Проверим на выбросы непрерывные переменные"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_boxplot(X, columns=[]):\n",
    "    plt.grid(0.1)\n",
    "    for i in columns:\n",
    "        sns.boxplot(x=X[i])\n",
    "    pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "get_boxplot(X,['area'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "get_boxplot(X,['population'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "get_boxplot(X,['sunstars'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Нормализуем переменные признаки с помощью normalize()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.020444</td>\n",
       "      <td>0.012143</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.077126</td>\n",
       "      <td>0.097055</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.015612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.000915</td>\n",
       "      <td>0.002277</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.058233</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.015612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.075340</td>\n",
       "      <td>0.015178</td>\n",
       "      <td>0.1270</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.058233</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.015612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.097055</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.1905</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.058233</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          0         1       2         3         4    5    6    7    8  \\\n",
       "0  0.020444  0.012143  0.0000  0.077126  0.097055  0.0  0.0  0.0  0.0   \n",
       "1  0.000915  0.002277  0.0000  0.000000  0.058233  0.0  0.0  0.0  0.0   \n",
       "2  0.075340  0.015178  0.1270  0.000000  0.058233  0.0  0.0  0.0  0.0   \n",
       "3  0.000000  0.000000  0.0000  0.000000  0.097055  0.0  0.0  0.0  0.0   \n",
       "4  0.000000  0.000000  0.1905  0.000000  0.058233  0.0  0.0  0.0  0.0   \n",
       "\n",
       "          9  \n",
       "0  0.015612  \n",
       "1  0.015612  \n",
       "2  0.015612  \n",
       "3  0.000000  \n",
       "4  0.000000  "
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn import preprocessing \n",
    "d = preprocessing.normalize(X[continious], axis=0) \n",
    "X_scaled= pd.DataFrame(d, ) \n",
    "X_scaled.head() \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>...</th>\n",
       "      <th>topleft_red</th>\n",
       "      <th>topleft_white</th>\n",
       "      <th>botright_black</th>\n",
       "      <th>botright_blue</th>\n",
       "      <th>botright_brown</th>\n",
       "      <th>botright_gold</th>\n",
       "      <th>botright_green</th>\n",
       "      <th>botright_orange</th>\n",
       "      <th>botright_red</th>\n",
       "      <th>botright_white</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.020444</td>\n",
       "      <td>0.012143</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.077126</td>\n",
       "      <td>0.097055</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.015612</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.000915</td>\n",
       "      <td>0.002277</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.058233</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.015612</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.075340</td>\n",
       "      <td>0.015178</td>\n",
       "      <td>0.1270</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.058233</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.015612</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.097055</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.1905</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.058233</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 48 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          0         1       2         3         4    5    6    7    8  \\\n",
       "0  0.020444  0.012143  0.0000  0.077126  0.097055  0.0  0.0  0.0  0.0   \n",
       "1  0.000915  0.002277  0.0000  0.000000  0.058233  0.0  0.0  0.0  0.0   \n",
       "2  0.075340  0.015178  0.1270  0.000000  0.058233  0.0  0.0  0.0  0.0   \n",
       "3  0.000000  0.000000  0.0000  0.000000  0.097055  0.0  0.0  0.0  0.0   \n",
       "4  0.000000  0.000000  0.1905  0.000000  0.058233  0.0  0.0  0.0  0.0   \n",
       "\n",
       "          9  ...  topleft_red  topleft_white  botright_black  botright_blue  \\\n",
       "0  0.015612  ...            0              0               0              0   \n",
       "1  0.015612  ...            1              0               0              0   \n",
       "2  0.015612  ...            0              0               0              0   \n",
       "3  0.000000  ...            0              0               0              0   \n",
       "4  0.000000  ...            0              0               0              0   \n",
       "\n",
       "   botright_brown  botright_gold  botright_green  botright_orange  \\\n",
       "0               0              0               1                0   \n",
       "1               0              0               0                0   \n",
       "2               0              0               0                0   \n",
       "3               0              0               0                0   \n",
       "4               0              0               0                0   \n",
       "\n",
       "   botright_red  botright_white  \n",
       "0             0               0  \n",
       "1             1               0  \n",
       "2             0               1  \n",
       "3             1               0  \n",
       "4             1               0  \n",
       "\n",
       "[5 rows x 48 columns]"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_norm = pd.concat([X_scaled, data[dummies],pd.get_dummies(data[categoricals])],axis=1)\n",
    "X_norm.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [],
   "source": [
    "for trn_idx,tst_idx in sss.split(X_norm,y):\n",
    "    X_train,y_train = X_norm.iloc[trn_idx],y.iloc[trn_idx]\n",
    "    X_test,y_test = X_norm.iloc[tst_idx],y.iloc[tst_idx]\n",
    "    \n",
    "assert len(X_train)+len(X_test) == len(y_train)+len(y_test) == len(X) == len(y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.83      0.62      0.71         8\n",
      "           1       0.80      1.00      0.89        12\n",
      "           2       0.43      0.86      0.57         7\n",
      "           3       1.00      0.00      0.00         2\n",
      "           4       1.00      0.00      0.00         1\n",
      "           5       1.00      0.60      0.75         5\n",
      "           6       1.00      0.33      0.50         3\n",
      "           7       1.00      0.00      0.00         1\n",
      "\n",
      "    accuracy                           0.69        39\n",
      "   macro avg       0.88      0.43      0.43        39\n",
      "weighted avg       0.80      0.69      0.66        39\n",
      "\n"
     ]
    }
   ],
   "source": [
    "rfc = RandomForestClassifier(max_depth=20, min_samples_leaf=5, n_estimators=100, n_jobs=-1, random_state=42)\n",
    "rfc.fit(X_train,y_train)\n",
    "y_pred = rfc.predict(X_test)\n",
    "print(classification_report(y_test, y_pred, zero_division=1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Нормализация признаков дает лучший результат, чем базовая модель"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
